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Posted to commits@mahout.apache.org by co...@apache.org on 2008/02/07 17:44:00 UTC

[CONF] Apache Lucene Mahout: Logistic Regression (page edited)

Logistic Regression (MAHOUT) edited by Isabel Drost
      Page: http://cwiki.apache.org/confluence/display/MAHOUT/Logistic+Regression
   Changes: http://cwiki.apache.org/confluence/pages/diffpagesbyversion.action?pageId=75687&originalVersion=1&revisedVersion=2






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h1. Logistic Regression

Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several predictor variables that may be either numerical or categories.

Logistic regression is the discrimitive equivalent to naive bayes. It does not model the probability of the input data (p(x)) as naive bayes does. Accordingly it cannot make false assumptions on the distribution of the input data, as is done in naive bayes.

h2. Parallelization strategy

h2. Design of packages

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